AI Engineer, Entry Level
Jobright.ai · United States
- Hybrid
- Full-time
- $85,000 / year
- United States
Job highlights
- Build and scale production AI agents.
- Develop prompt engineering and orchestration.
- Integrate LLMs for reliable responses.
- Transform user needs into AI features.
- Implement RAG and fine-tune models.
About the role
About Jobright
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Build and refine autonomous AI agents that interact with complex environments to solve real-world user problems
- Develop and optimize sophisticated prompt engineering workflows and multi-agent orchestration frameworks to enhance product capabilities
- Integrate Large Language Models (LLMs) into the Jobright application, ensuring high-quality, low-latency, and reliable AI responses
- Work at the intersection of product and engineering to transform user requirements into functional AI-driven features
- Implement Retrieval-Augmented Generation (RAG) systems and fine-tune models to improve the accuracy and context-awareness of our agents
Qualifications
Required
- Recent graduate or entry-level professional (0–2 years of experience) with a degree in Computer Science, AI, or a related technical field
- Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
- Practical understanding of agentic workflows, prompt chaining, and the latest trends in generative AI
- Solid software engineering foundations, including a strong grasp of APIs, asynchronous programming, and version control (Git)
- Must live in and be authorized to work in the United States
Preferred
- Previous internship or personal project experience building AI-powered applications, chatbots, or autonomous agents
- Familiarity with agent frameworks such as LangChain, AutoGPT, or CrewAI
- Experience with vector databases and semantic search implementation
- Basic understanding of front-end or full-stack integration to help bridge the gap between AI logic and user interfaces
Key skills/competency
- AI Engineer
- Entry Level AI
- Large Language Models
- Prompt Engineering
- Agentic Workflows
- Python
- LLM APIs
- Retrieval-Augmented Generation
- Software Engineering
- Generative AI
Skills & topics
- AI Engineer
- Entry Level
- Artificial Intelligence
- Machine Learning
- Python
- LLM
- Generative AI
- Prompt Engineering
- Software Engineering
- Agent Frameworks
- Computer Science
- Jobright.ai
How to get hired
- Tailor your resume: Highlight Python, LLM API experience, and AI project work.
- Showcase projects: Emphasize agentic workflows, prompt engineering, and RAG implementations.
- Understand the tech: Be ready to discuss LLMs, APIs, asynchronous programming, and Git.
- Prepare for interviews: Demonstrate problem-solving and passion for AI agent development.
Technical preparation
Master Python and LLM API usage.,Build projects with agentic workflows.,Practice prompt engineering techniques.,Understand RAG and model fine-tuning.
Behavioral questions
Describe a challenging AI project.,How do you handle complex requirements?,Showcase your passion for AI agents.,Discuss your collaborative approach.
Frequently asked questions
- What specific AI projects should I highlight for the Entry Level AI Engineer role at Jobright.ai?
- For the Entry Level AI Engineer position at Jobright.ai, highlight projects demonstrating your experience with building AI-powered applications, chatbots, or autonomous agents. Showcase your understanding of agentic workflows, prompt chaining, and LLM API integration. If you have experience with frameworks like LangChain or have worked with vector databases, be sure to mention those as well.
- How can I best demonstrate my Python and LLM API skills for the Entry Level AI Engineer job at Jobright.ai?
- To showcase your Python and LLM API skills for the Entry Level AI Engineer role at Jobright.ai, ensure your resume clearly lists your proficiency in Python and any experience with specific LLM APIs such as OpenAI or Anthropic. Include details about any personal projects or internships where you utilized these skills to build AI functionalities.
- What are the core responsibilities of an Entry Level AI Engineer at Jobright.ai?
- As an Entry Level AI Engineer at Jobright.ai, your core responsibilities will include building and refining autonomous AI agents, developing prompt engineering workflows, integrating Large Language Models (LLMs) into the application, and implementing Retrieval-Augmented Generation (RAG) systems. You'll be working closely with product and engineering teams.
- Does Jobright.ai consider candidates with internship experience for the Entry Level AI Engineer position?
- Yes, Jobright.ai values previous internship or personal project experience in building AI-powered applications, chatbots, or autonomous agents. This practical experience is considered a preferred qualification for the Entry Level AI Engineer role.
- What is Jobright.ai looking for in terms of software engineering foundations for an Entry Level AI Engineer?
- For the Entry Level AI Engineer position, Jobright.ai requires solid software engineering foundations. This includes a strong grasp of APIs, asynchronous programming, and version control using Git. Demonstrating these skills is crucial for managing the lifecycle of AI agents from prototype to production.